Knowledge Measure-Based q-Rung Orthopair Fuzzy Inventory Model

C. Sugapriya (), S. Rajeswari (), D. Nagarajan () and K. Jeganathan ()
Additional contact information
C. Sugapriya: Queen Mary’s College, University of Madras, Department of Mathematics
S. Rajeswari: Queen Mary’s College, University of Madras, Department of Mathematics
D. Nagarajan: Rajalakshmi Institute of Technology, Department of Mathematics
K. Jeganathan: University of Madras, Amanujan Institute for Advanced Study in Mathematics

Chapter Chapter 6 in q-Rung Orthopair Fuzzy Sets, 2022, pp 139-166 from Springer

Abstract: Abstract As a generalization of intuitionistic fuzzy set and Pythagorean fuzzy set, the q-Rung Orthopair Fuzzy Set (qROFS) and its application are implemented in some decision-making problems. So far the notion of qROFS is not yet applied in any inventory management problems. This chapter analyzed an inventory model under the q-rung orthopair fuzzy environment and utilized the knowledge measure of qROFS to the proposed model. This study explores an economic order quantity model with faulty products and screening errors. To satisfy the customers’ demand with perfect items, the proposed research utilized the product warranty claim strategy from the supplier. Since some of the faulty products are returned from the supplier without being replaced as good ones, this study examines under two cases say, the warranty unclaimed products are restored by mending option and the warranty unclaimed products are recovered by the emergency purchase option. For both cases, the q-Rung Orthopair Fuzzy (qROF) inventory model is framed by presuming the proportion of faulty products and the proportion of misclassification errors as q-Rung Orthopair Fuzzy Variables (qROFVs). The Knowledge Measure-based q-Rung Orthopair Fuzzy (KM-qROF) inventory model is proposed by computing the knowledge measure of qROFVs. The proposed model is illustrated with a numerical example along with the sensitivity analysis.

Keywords: qROFS; Knowledge measure for qROFS; Inventory model; Warranty; Repair; Emergency purchase (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-1449-2_6

Ordering information: This item can be ordered from
http://www.springer.com/9789811914492

DOI: 10.1007/978-981-19-1449-2_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().